Daniel Buchan
Impact in
- Molecular Biology top 2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- Bioinformatics and Genomic Networks
- Biotechnology top 5%
Papers in
-
- Machine Learning in Bioinformatics 10
- Genomics and Phylogenetic Studies 8
- Protein Structure and Dynamics 8
- RNA and protein synthesis mechanisms 7
- Bioinformatics and Genomic Networks 3
- Single-cell and spatial transcriptomics 3
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- David T. Jones (12 shared papers)Kevin Bryson (3 shared papers)Federico Minneci (1 shared paper)Domenico Cozzetto (2 shared papers)Massimiliano Pontil (2 shared papers)Christine Orengo (7 shared papers)Anna Lobley (1 shared paper)Janet M. Thornton (4 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Bioinformatics (4 papers)Proteins Structure Function and Bioinformatics (2 papers)PROTEOMICS (2 papers)Briefings in Functional Genomics (1 paper)
- Partner nations
- United KingdomUnited StatesMalaysia
In The Last Decade
Daniel Buchan
24 papers receiving 3.5k citations
Daniel Buchan's Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 2.7k
- Biotechnology 146
- Endocrinology 73
- Microbiology 82
- Genetics 336
Countries citing papers authored by Daniel Buchan
This map shows the geographic impact of Daniel Buchan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Buchan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Buchan more than expected).
Fields of papers citing papers by Daniel Buchan
This network shows the impact of papers produced by Daniel Buchan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Buchan. The network helps show where Daniel Buchan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Buchan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Scalable web services for the PSIPRED Protein Analysis Workbench Hit paper breakdown → | 2013 | 1090 |
| 2 | The PSIPRED Protein Analysis Workbench: 20 years on Hit paper breakdown → | 2019 | 978 |
| 3 | PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments Hit paper breakdown → | 2011 | 553 |
| 4 | 2010 | 295 | |
| 5 | 2004 | 87 | |
| 6 | 2013 | 72 | |
| 7 | 2002 | 70 | |
| 8 | 2011 | 58 | |
| 9 | 2002 | 52 | |
| 10 | 2017 | 44 | |
| 11 | 2017 | 42 | |
| 12 | 2002 | 41 | |
| 13 | 2024 | 34 | |
| 14 | 2003 | 21 | |
| 15 | 2019 | 18 | |
| 16 | 2003 | 18 | |
| 17 | 2017 | 12 | |
| 18 | 2019 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2002 | 4 |
About Daniel Buchan
Daniel Buchan is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Artificial Intelligence and Genetics, having authored 24 papers that have together received 3.5k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (10 papers), Genomics and Phylogenetic Studies (8 papers), Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (7 papers), Enzyme Structure and Function (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Bioinformatics and Genomic Networks (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Biotechnology (146 citations), Endocrinology (73 citations), Microbiology (82 citations) and Genetics (336 citations). Daniel Buchan has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include David T. Jones, Kevin Bryson, Federico Minneci, Domenico Cozzetto, Massimiliano Pontil, Christine Orengo, Anna Lobley, Janet M. Thornton, Frances M. G. Pearl and Juan A. G. Ranea. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Proteins Structure Function and Bioinformatics, PROTEOMICS and Briefings in Functional Genomics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.